add title, desc and article

app.py

@@ -36,6 +36,15 @@ relation_list = [' Husband',' Not-in-family',' Wife',' Own-child',' Unmarried','
 occupation_list = [' Exec-managerial',' Handlers-cleaners',' Prof-specialty',' Other-service',' Adm-clerical',' Sales',' Craft-repair',' Transport-moving',' Farming-fishing',' Machine-op-inspct',' Tech-support',' ?',' Protective-serv',' Armed-Forces',' Priv-house-serv']
 countries = [' United-States',' Cuba',' Jamaica',' India',' Mexico',' South',' Puerto-Rico',' Honduras',' England',' Canada',' Germany',' Iran',' Philippines',' Italy',' Poland',' Columbia',' Cambodia',' Thailand',' Ecuador',' Laos',' Taiwan',' Haiti',' Portugal',' Dominican-Republic',' El-Salvador',' France',' Guatemala',' China',' Japan',' Yugoslavia',' Peru',' Outlying-US(Guam-USVI-etc)',' Scotland',' Trinadad&Tobago',' Greece',' Nicaragua',' Vietnam',' Hong',' Ireland',' Hungary',' Holand-Netherlands']
 
+title = "Deep Neural Decision Forest"
+description = "This example uses the United States Census Income Dataset provided by the UC Irvine Machine Learning Repository. The task is binary classification to predict whether a person is likely to be making over USD 50,000 a year."
+article = """<p style='text-align: center'>
+        <a href='https://keras.io/examples/structured_data/deep_neural_decision_forests/' target='_blank'>Keras Example given by Khalid Salama</a>
+        <br/>
+        <a href="https://huggingface.co/lucifertrj">Space by @lucifertrj</a>
+    </p>
+    """https://huggingface.co/lucifertrj
+
 demo = gr.Interface(
     predict,
     [
@@ -55,6 +64,9 @@ demo = gr.Interface(
         gr.Dropdown(countries),
     ],
     "text",
+    title = title,
+    description = description,
+    article = article,
     examples=
     [
         [35,' Private',5000,' Masters',8,' Divorced',' Tech-support',' Husband',' White',' Male',6000,0,40,' Germany'],